BarChart module

[WouterD]

Hi everyone!

I'm struggling with the data collection for a bar chart. My model consists of several groups of agents and for one of those groups I would like to create a bar chart. However, when collecting the data (see below) the other groups of agents are also being considered, leaving NaN values in the created dataframe. This leads to the model not being displayed.

The lines that I'm using to retrieve the agent data (AGV is the agent name) are the following:

        self.datacollector = DataCollector(

                                            agent_reporters={

                                            "Energ": lambda x: x.energy if x.type=='AGV' else None }

                                            ) 

Does someone know a way to work around this issue?

Thank you in advance!

[Tom Pike]

Have your tied pass instead of None as below. Its an iterator so you want to skip not add None. 

self.datacollector = DataCollector(

                                            agent_reporters={

                                            "Energ": lambda x: x.energy if x.type=='AGV' else pass }

                                            ) 

[WouterD]

Thanks for your reply!

I tried pass, continue, ... statements but those give 'invalid syntax' errors.

Op dinsdag 12 mei 2020 01:41:26 UTC+2 schreef Tom Pike:

[Vincent Hess]

Have you tried leaving out the else statement completely?

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[WouterD]

Yes, but that gives a syntax error as well.

For now, I modified the 'datacollection' file in mesa (in my directory ofcourse :p) to remove NaN values from the dataframe it returns.

Op dinsdag 12 mei 2020 09:14:32 UTC+2 schreef Corvince:

Have you tried leaving out the else statement completely?

WouterD <wouter.d...@gmail.com> schrieb am Di., 12. Mai 2020, 09:01:

Thanks for your reply!

I tried pass, continue, ... statements but those give 'invalid syntax' errors.

Op dinsdag 12 mei 2020 01:41:26 UTC+2 schreef Tom Pike:

Have your tied pass instead of None as below. Its an iterator so you want to skip not add None. 

self.datacollector = DataCollector(

                                            agent_reporters={

                                            "Energ": lambda x: x.energy if x.type=='AGV' else pass }

                                            ) 

On Monday, May 11, 2020 at 2:35:35 PM UTC-3, WouterD wrote:

Hi everyone!

I'm struggling with the data collection for a bar chart. My model consists of several groups of agents and for one of those groups I would like to create a bar chart. However, when collecting the data (see below) the other groups of agents are also being considered, leaving NaN values in the created dataframe. This leads to the model not being displayed.

The lines that I'm using to retrieve the agent data (AGV is the agent name) are the following:

        self.datacollector = DataCollector(

                                            agent_reporters={

                                            "Energ": lambda x: x.energy if x.type=='AGV' else None }

                                            ) 

Does someone know a way to work around this issue?

Thank you in advance!

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[Corvince]

Ah, yes, it is still a ternary operator and requires the else statement.

Alternatively you don't need to use a lambda function, but can use any function. So you should be able to define something like:

def get_energy(agent):
    if agent.type == "AGV":
        return agent.energy

[Corvince]

On second thought forget about this. It will still implicitly return None for any other agent type, so this won't work either. Sorry for the confusion

[WouterD]

No problem, I appreciate the response.

I'll just stick with removing the NaNs from the dataframe until something else comes up :)

Op dinsdag 12 mei 2020 09:43:29 UTC+2 schreef Corvince: